Global exponential sampled-data observers for nonlinear systems with delayed measurements

被引：104
|
作者：
Ahmed-Ali, Tarek [1 ]
Karafyllis, Iasson [2 ]
Lamnabhi-Lagarrigue, Francoise [3 ]
机构：
[1] Lab GREYC CNRS ENSICAEN, F-14050 Caen, France
[2] Natl Tech Univ Athens, Dept Math, Athens 15780, Greece
[3] CNRS EECI SUPELEC, CNRS, F-91192 Gif Sur Yvette, France
来源：
SYSTEMS & CONTROL LETTERS | 2013年 / 62卷 / 07期
关键词：
Observer design; Nonlinear sampled-data systems; State predictors; Exponential observers; NETWORKED CONTROL-SYSTEMS; DESIGN; FRAMEWORK;
D O I：
10.1016/j.sysconle.2013.03.008
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents new results concerning the observer design for certain classes of nonlinear systems with both sampled and delayed measurements. By using a small gain approach we provide sufficient conditions, which involve both the delay and the sampling period, ensuring exponential convergence of the observer system error. The proposed observer is robust with respect to measurement errors and perturbations of the sampling schedule. Moreover, new results on the robust global exponential state predictor design problem are provided, for wide classes of nonlinear systems. (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：539 / 549
页数：11
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